Empirical Inference
Conference Paper
2022
On the Adversarial Robustness of Causal Algorithmic Recourse
Empirical Inference
Empirical Inference
| Author(s): | Dominguez-Olmedo, R. and Karimi, A.-H. and Schölkopf, B. |
| Book Title: | Proceedings of the 39th International Conference on Machine Learning (ICML) |
| Volume: | 162 |
| Pages: | 5324--5342 |
| Year: | 2022 |
| Month: | July |
| Editors: | Chaudhuri, Kamalika and Jegelka, Stefanie and Song, Le and Szepesvari, Csaba and Niu, Gang and Sabato, Sivan |
| Publisher: | PMLR |
| BibTeX Type: | Conference Paper (conference) |
| Event Place: | Baltimore, Maryland, USA |
| State: | Published |
| URL: | https://proceedings.mlr.press/v162/dominguez-olmedo22a.html |
| Electronic Archiving: | grant_archive |
BibTeX
@conference{DomKarSch22,
title = {On the Adversarial Robustness of Causal Algorithmic Recourse},
booktitle = {Proceedings of the 39th International Conference on Machine Learning (ICML)},
volume = {162},
pages = {5324--5342},
editors = {Chaudhuri, Kamalika and Jegelka, Stefanie and Song, Le and Szepesvari, Csaba and Niu, Gang and Sabato, Sivan},
publisher = {PMLR},
month = jul,
year = {2022},
author = {Dominguez-Olmedo, R. and Karimi, A.-H. and Sch{\"o}lkopf, B.},
url = {https://proceedings.mlr.press/v162/dominguez-olmedo22a.html},
month_numeric = {7}
}